{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}C:\Users\Han\Desktop\document\불평등 연구\주제33_불평등_외로움_사회분열\scientific reports\data\Analysis_2_code.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}27 Aug 2024, 15:38:31

{com}. oprobit Loneliness Inequality income education housing_type occupation sex marriage age religion ideology i.region_1 i.year

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-38145.058}  
Iteration 1:{space 3}log likelihood = {res:-37061.012}  
Iteration 2:{space 3}log likelihood = {res:-37058.946}  
Iteration 3:{space 3}log likelihood = {res:-37058.946}  
{res}
{txt}Ordered probit regression{col 49}Number of obs{col 67}= {res}    46,212
{txt}{col 49}LR chi2({res}28{txt}){col 67}= {res}   2172.22
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-37058.946{txt}{col 49}Pseudo R2{col 67}= {res}    0.0285

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}  Loneliness{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Inequality {c |}{col 14}{res}{space 2} .0280686{col 26}{space 2} .0057187{col 37}{space 1}    4.91{col 46}{space 3}0.000{col 54}{space 4} .0168601{col 67}{space 3} .0392771
{txt}{space 6}income {c |}{col 14}{res}{space 2}-.0212169{col 26}{space 2} .0036971{col 37}{space 1}   -5.74{col 46}{space 3}0.000{col 54}{space 4}-.0284631{col 67}{space 3}-.0139707
{txt}{space 3}education {c |}{col 14}{res}{space 2}  -.04764{col 26}{space 2} .0065032{col 37}{space 1}   -7.33{col 46}{space 3}0.000{col 54}{space 4} -.060386{col 67}{space 3} -.034894
{txt}housing_type {c |}{col 14}{res}{space 2}-.1460114{col 26}{space 2} .0148126{col 37}{space 1}   -9.86{col 46}{space 3}0.000{col 54}{space 4}-.1750434{col 67}{space 3}-.1169793
{txt}{space 2}occupation {c |}{col 14}{res}{space 2}  .076384{col 26}{space 2} .0434719{col 37}{space 1}    1.76{col 46}{space 3}0.079{col 54}{space 4}-.0088193{col 67}{space 3} .1615874
{txt}{space 9}sex {c |}{col 14}{res}{space 2} .0158146{col 26}{space 2} .0125944{col 37}{space 1}    1.26{col 46}{space 3}0.209{col 54}{space 4}-.0088699{col 67}{space 3} .0404992
{txt}{space 4}marriage {c |}{col 14}{res}{space 2}-.1130636{col 26}{space 2} .0127557{col 37}{space 1}   -8.86{col 46}{space 3}0.000{col 54}{space 4}-.1380643{col 67}{space 3} -.088063
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0413595{col 26}{space 2} .0048749{col 37}{space 1}    8.48{col 46}{space 3}0.000{col 54}{space 4} .0318049{col 67}{space 3}  .050914
{txt}{space 4}religion {c |}{col 14}{res}{space 2}  .042023{col 26}{space 2} .0127734{col 37}{space 1}    3.29{col 46}{space 3}0.001{col 54}{space 4} .0169875{col 67}{space 3} .0670584
{txt}{space 4}ideology {c |}{col 14}{res}{space 2} .0389065{col 26}{space 2} .0033393{col 37}{space 1}   11.65{col 46}{space 3}0.000{col 54}{space 4} .0323616{col 67}{space 3} .0454514
{txt}{space 12} {c |}
{space 4}region_1 {c |}
{space 7}경기  {c |}{col 14}{res}{space 2}-.2347959{col 26}{space 2} .0310223{col 37}{space 1}   -7.57{col 46}{space 3}0.000{col 54}{space 4}-.2955985{col 67}{space 3}-.1739933
{txt}{space 7}경남  {c |}{col 14}{res}{space 2}-.4736006{col 26}{space 2} .0363066{col 37}{space 1}  -13.04{col 46}{space 3}0.000{col 54}{space 4}-.5447603{col 67}{space 3} -.402441
{txt}{space 7}경북  {c |}{col 14}{res}{space 2} -.500624{col 26}{space 2} .0384836{col 37}{space 1}  -13.01{col 46}{space 3}0.000{col 54}{space 4}-.5760506{col 67}{space 3}-.4251975
{txt}{space 7}광주  {c |}{col 14}{res}{space 2} -.402249{col 26}{space 2} .0414516{col 37}{space 1}   -9.70{col 46}{space 3}0.000{col 54}{space 4}-.4834927{col 67}{space 3}-.3210053
{txt}{space 7}대구  {c |}{col 14}{res}{space 2}-.6423499{col 26}{space 2} .0401424{col 37}{space 1}  -16.00{col 46}{space 3}0.000{col 54}{space 4}-.7210275{col 67}{space 3}-.5636722
{txt}{space 7}대전  {c |}{col 14}{res}{space 2}-.5929361{col 26}{space 2} .0438858{col 37}{space 1}  -13.51{col 46}{space 3}0.000{col 54}{space 4}-.6789506{col 67}{space 3}-.5069215
{txt}{space 7}부산  {c |}{col 14}{res}{space 2}-.5101566{col 26}{space 2} .0372168{col 37}{space 1}  -13.71{col 46}{space 3}0.000{col 54}{space 4}-.5831001{col 67}{space 3}-.4372131
{txt}{space 7}서울  {c |}{col 14}{res}{space 2}-.3273497{col 26}{space 2} .0319033{col 37}{space 1}  -10.26{col 46}{space 3}0.000{col 54}{space 4} -.389879{col 67}{space 3}-.2648204
{txt}{space 7}세종  {c |}{col 14}{res}{space 2}-.3438517{col 26}{space 2} .0533407{col 37}{space 1}   -6.45{col 46}{space 3}0.000{col 54}{space 4}-.4483975{col 67}{space 3}-.2393058
{txt}{space 7}울산  {c |}{col 14}{res}{space 2}-.6091504{col 26}{space 2} .0454189{col 37}{space 1}  -13.41{col 46}{space 3}0.000{col 54}{space 4}-.6981698{col 67}{space 3} -.520131
{txt}{space 7}인천  {c |}{col 14}{res}{space 2}-.1476193{col 26}{space 2}  .036597{col 37}{space 1}   -4.03{col 46}{space 3}0.000{col 54}{space 4}-.2193482{col 67}{space 3}-.0758905
{txt}{space 7}전남  {c |}{col 14}{res}{space 2}-.4313596{col 26}{space 2} .0394637{col 37}{space 1}  -10.93{col 46}{space 3}0.000{col 54}{space 4} -.508707{col 67}{space 3}-.3540123
{txt}{space 7}전북  {c |}{col 14}{res}{space 2} -.360679{col 26}{space 2} .0395898{col 37}{space 1}   -9.11{col 46}{space 3}0.000{col 54}{space 4}-.4382735{col 67}{space 3}-.2830845
{txt}{space 7}제주  {c |}{col 14}{res}{space 2}-.2262965{col 26}{space 2} .0469854{col 37}{space 1}   -4.82{col 46}{space 3}0.000{col 54}{space 4}-.3183863{col 67}{space 3}-.1342068
{txt}{space 7}충남  {c |}{col 14}{res}{space 2}-.3004675{col 26}{space 2} .0387888{col 37}{space 1}   -7.75{col 46}{space 3}0.000{col 54}{space 4}-.3764921{col 67}{space 3}-.2244429
{txt}{space 7}충북  {c |}{col 14}{res}{space 2}-.0051106{col 26}{space 2} .0393507{col 37}{space 1}   -0.13{col 46}{space 3}0.897{col 54}{space 4}-.0822364{col 67}{space 3} .0720153
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2021  {c |}{col 14}{res}{space 2} -.002322{col 26}{space 2} .0153981{col 37}{space 1}   -0.15{col 46}{space 3}0.880{col 54}{space 4}-.0325017{col 67}{space 3} .0278578
{txt}{space 7}2022  {c |}{col 14}{res}{space 2}-.2022944{col 26}{space 2} .0150579{col 37}{space 1}  -13.43{col 46}{space 3}0.000{col 54}{space 4}-.2318073{col 67}{space 3}-.1727815
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       /cut1 {c |}{col 14}{res}{space 2} .0452785{col 26}{space 2} .0541843{col 54}{space 4}-.0609209{col 67}{space 3} .1514778
{txt}       /cut2 {c |}{col 14}{res}{space 2} 1.278289{col 26}{space 2} .0545308{col 54}{space 4}  1.17141{col 67}{space 3} 1.385167
{txt}       /cut3 {c |}{col 14}{res}{space 2} 2.231225{col 26}{space 2} .0575762{col 54}{space 4} 2.118378{col 67}{space 3} 2.344073
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. estimates store model_1

. 
. 
. 
. oprobit Distrust Loneliness income education housing_type occupation sex marriage age religion ideology i.region_1 i.year

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-53096.732}  
Iteration 1:{space 3}log likelihood = {res:-52050.477}  
Iteration 2:{space 3}log likelihood = {res:-52049.661}  
Iteration 3:{space 3}log likelihood = {res:-52049.661}  
{res}
{txt}Ordered probit regression{col 49}Number of obs{col 67}= {res}    46,366
{txt}{col 49}LR chi2({res}28{txt}){col 67}= {res}   2094.14
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-52049.661{txt}{col 49}Pseudo R2{col 67}= {res}    0.0197

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    Distrust{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Loneliness {c |}{col 14}{res}{space 2} .1235822{col 26}{space 2} .0083567{col 37}{space 1}   14.79{col 46}{space 3}0.000{col 54}{space 4} .1072034{col 67}{space 3} .1399611
{txt}{space 6}income {c |}{col 14}{res}{space 2}-.0213901{col 26}{space 2} .0032317{col 37}{space 1}   -6.62{col 46}{space 3}0.000{col 54}{space 4}-.0277241{col 67}{space 3}-.0150561
{txt}{space 3}education {c |}{col 14}{res}{space 2} -.023855{col 26}{space 2} .0057573{col 37}{space 1}   -4.14{col 46}{space 3}0.000{col 54}{space 4}-.0351391{col 67}{space 3}-.0125708
{txt}housing_type {c |}{col 14}{res}{space 2}-.1543032{col 26}{space 2} .0132371{col 37}{space 1}  -11.66{col 46}{space 3}0.000{col 54}{space 4}-.1802475{col 67}{space 3}-.1283589
{txt}{space 2}occupation {c |}{col 14}{res}{space 2} .0990837{col 26}{space 2} .0381493{col 37}{space 1}    2.60{col 46}{space 3}0.009{col 54}{space 4} .0243125{col 67}{space 3} .1738549
{txt}{space 9}sex {c |}{col 14}{res}{space 2}-.0369789{col 26}{space 2} .0111076{col 37}{space 1}   -3.33{col 46}{space 3}0.001{col 54}{space 4}-.0587494{col 67}{space 3}-.0152084
{txt}{space 4}marriage {c |}{col 14}{res}{space 2} .0061641{col 26}{space 2} .0112193{col 37}{space 1}    0.55{col 46}{space 3}0.583{col 54}{space 4}-.0158253{col 67}{space 3} .0281534
{txt}{space 9}age {c |}{col 14}{res}{space 2}-.0035323{col 26}{space 2} .0043093{col 37}{space 1}   -0.82{col 46}{space 3}0.412{col 54}{space 4}-.0119784{col 67}{space 3} .0049138
{txt}{space 4}religion {c |}{col 14}{res}{space 2}-.0765535{col 26}{space 2} .0113712{col 37}{space 1}   -6.73{col 46}{space 3}0.000{col 54}{space 4}-.0988406{col 67}{space 3}-.0542664
{txt}{space 4}ideology {c |}{col 14}{res}{space 2}-.0243921{col 26}{space 2} .0029258{col 37}{space 1}   -8.34{col 46}{space 3}0.000{col 54}{space 4}-.0301267{col 67}{space 3}-.0186575
{txt}{space 12} {c |}
{space 4}region_1 {c |}
{space 7}경기  {c |}{col 14}{res}{space 2} -.255867{col 26}{space 2} .0289873{col 37}{space 1}   -8.83{col 46}{space 3}0.000{col 54}{space 4} -.312681{col 67}{space 3}-.1990529
{txt}{space 7}경남  {c |}{col 14}{res}{space 2} -.509253{col 26}{space 2} .0331993{col 37}{space 1}  -15.34{col 46}{space 3}0.000{col 54}{space 4}-.5743224{col 67}{space 3}-.4441837
{txt}{space 7}경북  {c |}{col 14}{res}{space 2}-.0135634{col 26}{space 2} .0347308{col 37}{space 1}   -0.39{col 46}{space 3}0.696{col 54}{space 4}-.0816346{col 67}{space 3} .0545078
{txt}{space 7}광주  {c |}{col 14}{res}{space 2}-.2786049{col 26}{space 2} .0371186{col 37}{space 1}   -7.51{col 46}{space 3}0.000{col 54}{space 4}-.3513561{col 67}{space 3}-.2058538
{txt}{space 7}대구  {c |}{col 14}{res}{space 2} .1835726{col 26}{space 2} .0352942{col 37}{space 1}    5.20{col 46}{space 3}0.000{col 54}{space 4} .1143972{col 67}{space 3} .2527481
{txt}{space 7}대전  {c |}{col 14}{res}{space 2}-.0906276{col 26}{space 2} .0381524{col 37}{space 1}   -2.38{col 46}{space 3}0.018{col 54}{space 4} -.165405{col 67}{space 3}-.0158502
{txt}{space 7}부산  {c |}{col 14}{res}{space 2}-.5128396{col 26}{space 2} .0338545{col 37}{space 1}  -15.15{col 46}{space 3}0.000{col 54}{space 4}-.5791932{col 67}{space 3} -.446486
{txt}{space 7}서울  {c |}{col 14}{res}{space 2}-.3063124{col 26}{space 2} .0296859{col 37}{space 1}  -10.32{col 46}{space 3}0.000{col 54}{space 4}-.3644957{col 67}{space 3}-.2481291
{txt}{space 7}세종  {c |}{col 14}{res}{space 2}-.5656664{col 26}{space 2} .0477429{col 37}{space 1}  -11.85{col 46}{space 3}0.000{col 54}{space 4}-.6592408{col 67}{space 3} -.472092
{txt}{space 7}울산  {c |}{col 14}{res}{space 2}-.4392522{col 26}{space 2} .0395459{col 37}{space 1}  -11.11{col 46}{space 3}0.000{col 54}{space 4}-.5167608{col 67}{space 3}-.3617437
{txt}{space 7}인천  {c |}{col 14}{res}{space 2}-.0411408{col 26}{space 2} .0339029{col 37}{space 1}   -1.21{col 46}{space 3}0.225{col 54}{space 4}-.1075894{col 67}{space 3} .0253078
{txt}{space 7}전남  {c |}{col 14}{res}{space 2}-.5602146{col 26}{space 2} .0358376{col 37}{space 1}  -15.63{col 46}{space 3}0.000{col 54}{space 4}-.6304551{col 67}{space 3}-.4899742
{txt}{space 7}전북  {c |}{col 14}{res}{space 2}-.4258575{col 26}{space 2} .0359293{col 37}{space 1}  -11.85{col 46}{space 3}0.000{col 54}{space 4}-.4962777{col 67}{space 3}-.3554374
{txt}{space 7}제주  {c |}{col 14}{res}{space 2} .0576543{col 26}{space 2} .0428955{col 37}{space 1}    1.34{col 46}{space 3}0.179{col 54}{space 4}-.0264193{col 67}{space 3}  .141728
{txt}{space 7}충남  {c |}{col 14}{res}{space 2}-.1565808{col 26}{space 2} .0354619{col 37}{space 1}   -4.42{col 46}{space 3}0.000{col 54}{space 4}-.2260848{col 67}{space 3}-.0870767
{txt}{space 7}충북  {c |}{col 14}{res}{space 2}-.2957499{col 26}{space 2} .0371904{col 37}{space 1}   -7.95{col 46}{space 3}0.000{col 54}{space 4}-.3686418{col 67}{space 3}-.2228581
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2021  {c |}{col 14}{res}{space 2} -.065872{col 26}{space 2}  .013655{col 37}{space 1}   -4.82{col 46}{space 3}0.000{col 54}{space 4}-.0926353{col 67}{space 3}-.0391088
{txt}{space 7}2022  {c |}{col 14}{res}{space 2} -.053744{col 26}{space 2} .0130929{col 37}{space 1}   -4.10{col 46}{space 3}0.000{col 54}{space 4}-.0794056{col 67}{space 3}-.0280824
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       /cut1 {c |}{col 14}{res}{space 2}-2.287018{col 26}{space 2} .0478312{col 54}{space 4}-2.380765{col 67}{space 3} -2.19327
{txt}       /cut2 {c |}{col 14}{res}{space 2}-.5121761{col 26}{space 2} .0469137{col 54}{space 4}-.6041253{col 67}{space 3}-.4202269
{txt}       /cut3 {c |}{col 14}{res}{space 2} .6820855{col 26}{space 2} .0469644{col 54}{space 4} .5900369{col 67}{space 3} .7741341
{txt}       /cut4 {c |}{col 14}{res}{space 2}  1.70058{col 26}{space 2} .0487303{col 54}{space 4} 1.605071{col 67}{space 3}  1.79609
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. estimates store model_2

. 
. 
. 
. oprobit Exploitation Loneliness income education housing_type occupation sex marriage age religion ideology i.region_1 i.year

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -63051.53}  
Iteration 1:{space 3}log likelihood = {res:-62481.542}  
Iteration 2:{space 3}log likelihood = {res: -62481.48}  
Iteration 3:{space 3}log likelihood = {res: -62481.48}  
{res}
{txt}Ordered probit regression{col 49}Number of obs{col 67}= {res}    46,366
{txt}{col 49}LR chi2({res}28{txt}){col 67}= {res}   1140.10
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res} -62481.48{txt}{col 49}Pseudo R2{col 67}= {res}    0.0090

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Exploitation{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Loneliness {c |}{col 14}{res}{space 2} .1537719{col 26}{space 2} .0081046{col 37}{space 1}   18.97{col 46}{space 3}0.000{col 54}{space 4} .1378873{col 67}{space 3} .1696566
{txt}{space 6}income {c |}{col 14}{res}{space 2}   .02738{col 26}{space 2} .0031175{col 37}{space 1}    8.78{col 46}{space 3}0.000{col 54}{space 4} .0212698{col 67}{space 3} .0334901
{txt}{space 3}education {c |}{col 14}{res}{space 2} .0160291{col 26}{space 2} .0055658{col 37}{space 1}    2.88{col 46}{space 3}0.004{col 54}{space 4} .0051203{col 67}{space 3} .0269379
{txt}housing_type {c |}{col 14}{res}{space 2} .0016164{col 26}{space 2} .0128138{col 37}{space 1}    0.13{col 46}{space 3}0.900{col 54}{space 4}-.0234982{col 67}{space 3}  .026731
{txt}{space 2}occupation {c |}{col 14}{res}{space 2}-.0720769{col 26}{space 2} .0369415{col 37}{space 1}   -1.95{col 46}{space 3}0.051{col 54}{space 4} -.144481{col 67}{space 3} .0003272
{txt}{space 9}sex {c |}{col 14}{res}{space 2} .0254098{col 26}{space 2} .0107291{col 37}{space 1}    2.37{col 46}{space 3}0.018{col 54}{space 4} .0043812{col 67}{space 3} .0464384
{txt}{space 4}marriage {c |}{col 14}{res}{space 2} .0177138{col 26}{space 2} .0108423{col 37}{space 1}    1.63{col 46}{space 3}0.102{col 54}{space 4}-.0035368{col 67}{space 3} .0389643
{txt}{space 9}age {c |}{col 14}{res}{space 2}-.0204086{col 26}{space 2} .0041652{col 37}{space 1}   -4.90{col 46}{space 3}0.000{col 54}{space 4}-.0285722{col 67}{space 3}-.0122449
{txt}{space 4}religion {c |}{col 14}{res}{space 2}-.1059606{col 26}{space 2} .0109795{col 37}{space 1}   -9.65{col 46}{space 3}0.000{col 54}{space 4}  -.12748{col 67}{space 3}-.0844412
{txt}{space 4}ideology {c |}{col 14}{res}{space 2} .0382297{col 26}{space 2} .0028283{col 37}{space 1}   13.52{col 46}{space 3}0.000{col 54}{space 4} .0326863{col 67}{space 3} .0437731
{txt}{space 12} {c |}
{space 4}region_1 {c |}
{space 7}경기  {c |}{col 14}{res}{space 2} .0132817{col 26}{space 2} .0283174{col 37}{space 1}    0.47{col 46}{space 3}0.639{col 54}{space 4}-.0422193{col 67}{space 3} .0687828
{txt}{space 7}경남  {c |}{col 14}{res}{space 2} .1655845{col 26}{space 2} .0321598{col 37}{space 1}    5.15{col 46}{space 3}0.000{col 54}{space 4} .1025525{col 67}{space 3} .2286165
{txt}{space 7}경북  {c |}{col 14}{res}{space 2}-.0856275{col 26}{space 2} .0340386{col 37}{space 1}   -2.52{col 46}{space 3}0.012{col 54}{space 4}-.1523419{col 67}{space 3}-.0189131
{txt}{space 7}광주  {c |}{col 14}{res}{space 2} .1259847{col 26}{space 2} .0361642{col 37}{space 1}    3.48{col 46}{space 3}0.000{col 54}{space 4} .0551042{col 67}{space 3} .1968652
{txt}{space 7}대구  {c |}{col 14}{res}{space 2} .0991476{col 26}{space 2} .0345491{col 37}{space 1}    2.87{col 46}{space 3}0.004{col 54}{space 4} .0314326{col 67}{space 3} .1668627
{txt}{space 7}대전  {c |}{col 14}{res}{space 2} .1939951{col 26}{space 2} .0371939{col 37}{space 1}    5.22{col 46}{space 3}0.000{col 54}{space 4} .1210964{col 67}{space 3} .2668938
{txt}{space 7}부산  {c |}{col 14}{res}{space 2} .1789085{col 26}{space 2} .0327542{col 37}{space 1}    5.46{col 46}{space 3}0.000{col 54}{space 4} .1147115{col 67}{space 3} .2431055
{txt}{space 7}서울  {c |}{col 14}{res}{space 2}  .072702{col 26}{space 2} .0289524{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4} .0159563{col 67}{space 3} .1294476
{txt}{space 7}세종  {c |}{col 14}{res}{space 2}-.2450602{col 26}{space 2} .0461593{col 37}{space 1}   -5.31{col 46}{space 3}0.000{col 54}{space 4}-.3355308{col 67}{space 3}-.1545896
{txt}{space 7}울산  {c |}{col 14}{res}{space 2} .1627742{col 26}{space 2} .0382164{col 37}{space 1}    4.26{col 46}{space 3}0.000{col 54}{space 4} .0878715{col 67}{space 3} .2376768
{txt}{space 7}인천  {c |}{col 14}{res}{space 2} .1468054{col 26}{space 2} .0331106{col 37}{space 1}    4.43{col 46}{space 3}0.000{col 54}{space 4} .0819098{col 67}{space 3} .2117011
{txt}{space 7}전남  {c |}{col 14}{res}{space 2}  .067224{col 26}{space 2} .0347177{col 37}{space 1}    1.94{col 46}{space 3}0.053{col 54}{space 4}-.0008214{col 67}{space 3} .1352693
{txt}{space 7}전북  {c |}{col 14}{res}{space 2} -.085225{col 26}{space 2} .0349242{col 37}{space 1}   -2.44{col 46}{space 3}0.015{col 54}{space 4}-.1536751{col 67}{space 3}-.0167749
{txt}{space 7}제주  {c |}{col 14}{res}{space 2}-.1118787{col 26}{space 2}  .041966{col 37}{space 1}   -2.67{col 46}{space 3}0.008{col 54}{space 4}-.1941306{col 67}{space 3}-.0296268
{txt}{space 7}충남  {c |}{col 14}{res}{space 2} .1002599{col 26}{space 2} .0346156{col 37}{space 1}    2.90{col 46}{space 3}0.004{col 54}{space 4} .0324145{col 67}{space 3} .1681053
{txt}{space 7}충북  {c |}{col 14}{res}{space 2} .0346807{col 26}{space 2} .0361048{col 37}{space 1}    0.96{col 46}{space 3}0.337{col 54}{space 4}-.0360834{col 67}{space 3} .1054449
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2021  {c |}{col 14}{res}{space 2} .0265305{col 26}{space 2} .0132102{col 37}{space 1}    2.01{col 46}{space 3}0.045{col 54}{space 4}  .000639{col 67}{space 3} .0524219
{txt}{space 7}2022  {c |}{col 14}{res}{space 2} .0205526{col 26}{space 2} .0126623{col 37}{space 1}    1.62{col 46}{space 3}0.105{col 54}{space 4}-.0042649{col 67}{space 3} .0453702
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       /cut1 {c |}{col 14}{res}{space 2}-.7515972{col 26}{space 2} .0456908{col 54}{space 4}-.8411496{col 67}{space 3}-.6620448
{txt}       /cut2 {c |}{col 14}{res}{space 2} .3027183{col 26}{space 2} .0455118{col 54}{space 4} .2135169{col 67}{space 3} .3919197
{txt}       /cut3 {c |}{col 14}{res}{space 2} 1.368912{col 26}{space 2}  .045788{col 54}{space 4} 1.279169{col 67}{space 3} 1.458655
{txt}       /cut4 {c |}{col 14}{res}{space 2} 2.575455{col 26}{space 2} .0471966{col 54}{space 4} 2.482951{col 67}{space 3} 2.667958
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. estimates store model_3

. 
. 
. 
. oprobit Indifference Loneliness income education housing_type occupation sex marriage age religion ideology i.region_1 i.year

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-53261.356}  
Iteration 1:{space 3}log likelihood = {res:-52576.866}  
Iteration 2:{space 3}log likelihood = {res:-52576.566}  
Iteration 3:{space 3}log likelihood = {res:-52576.566}  
{res}
{txt}Ordered probit regression{col 49}Number of obs{col 67}= {res}    46,366
{txt}{col 49}LR chi2({res}28{txt}){col 67}= {res}   1369.58
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-52576.566{txt}{col 49}Pseudo R2{col 67}= {res}    0.0129

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Indifference{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Loneliness {c |}{col 14}{res}{space 2} .0842887{col 26}{space 2} .0083183{col 37}{space 1}   10.13{col 46}{space 3}0.000{col 54}{space 4} .0679851{col 67}{space 3} .1005922
{txt}{space 6}income {c |}{col 14}{res}{space 2}-.0226551{col 26}{space 2} .0032109{col 37}{space 1}   -7.06{col 46}{space 3}0.000{col 54}{space 4}-.0289483{col 67}{space 3}-.0163619
{txt}{space 3}education {c |}{col 14}{res}{space 2}-.0335858{col 26}{space 2}  .005731{col 37}{space 1}   -5.86{col 46}{space 3}0.000{col 54}{space 4}-.0448184{col 67}{space 3}-.0223533
{txt}housing_type {c |}{col 14}{res}{space 2} -.068118{col 26}{space 2} .0131767{col 37}{space 1}   -5.17{col 46}{space 3}0.000{col 54}{space 4}-.0939439{col 67}{space 3}-.0422922
{txt}{space 2}occupation {c |}{col 14}{res}{space 2} .0046129{col 26}{space 2} .0380533{col 37}{space 1}    0.12{col 46}{space 3}0.904{col 54}{space 4}-.0699702{col 67}{space 3}  .079196
{txt}{space 9}sex {c |}{col 14}{res}{space 2}  -.05004{col 26}{space 2} .0110471{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0716919{col 67}{space 3}-.0283881
{txt}{space 4}marriage {c |}{col 14}{res}{space 2}-.0134273{col 26}{space 2} .0111606{col 37}{space 1}   -1.20{col 46}{space 3}0.229{col 54}{space 4}-.0353016{col 67}{space 3}  .008447
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0070197{col 26}{space 2} .0042868{col 37}{space 1}    1.64{col 46}{space 3}0.102{col 54}{space 4}-.0013823{col 67}{space 3} .0154217
{txt}{space 4}religion {c |}{col 14}{res}{space 2}-.0748992{col 26}{space 2} .0113018{col 37}{space 1}   -6.63{col 46}{space 3}0.000{col 54}{space 4}-.0970503{col 67}{space 3}-.0527481
{txt}{space 4}ideology {c |}{col 14}{res}{space 2}-.0250805{col 26}{space 2} .0029097{col 37}{space 1}   -8.62{col 46}{space 3}0.000{col 54}{space 4}-.0307834{col 67}{space 3}-.0193776
{txt}{space 12} {c |}
{space 4}region_1 {c |}
{space 7}경기  {c |}{col 14}{res}{space 2} .0632169{col 26}{space 2} .0290594{col 37}{space 1}    2.18{col 46}{space 3}0.030{col 54}{space 4} .0062615{col 67}{space 3} .1201724
{txt}{space 7}경남  {c |}{col 14}{res}{space 2}-.2572193{col 26}{space 2} .0331052{col 37}{space 1}   -7.77{col 46}{space 3}0.000{col 54}{space 4}-.3221043{col 67}{space 3}-.1923344
{txt}{space 7}경북  {c |}{col 14}{res}{space 2} .0730666{col 26}{space 2} .0348705{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0047218{col 67}{space 3} .1414115
{txt}{space 7}광주  {c |}{col 14}{res}{space 2}-.2497752{col 26}{space 2}  .037196{col 37}{space 1}   -6.72{col 46}{space 3}0.000{col 54}{space 4}-.3226781{col 67}{space 3}-.1768724
{txt}{space 7}대구  {c |}{col 14}{res}{space 2} .1813247{col 26}{space 2} .0354672{col 37}{space 1}    5.11{col 46}{space 3}0.000{col 54}{space 4} .1118104{col 67}{space 3} .2508391
{txt}{space 7}대전  {c |}{col 14}{res}{space 2}-.0062582{col 26}{space 2} .0382292{col 37}{space 1}   -0.16{col 46}{space 3}0.870{col 54}{space 4}-.0811861{col 67}{space 3} .0686697
{txt}{space 7}부산  {c |}{col 14}{res}{space 2}-.2765786{col 26}{space 2} .0337487{col 37}{space 1}   -8.20{col 46}{space 3}0.000{col 54}{space 4}-.3427248{col 67}{space 3}-.2104324
{txt}{space 7}서울  {c |}{col 14}{res}{space 2}-.0285153{col 26}{space 2} .0297168{col 37}{space 1}   -0.96{col 46}{space 3}0.337{col 54}{space 4}-.0867591{col 67}{space 3} .0297286
{txt}{space 7}세종  {c |}{col 14}{res}{space 2}-.0294034{col 26}{space 2}  .047163{col 37}{space 1}   -0.62{col 46}{space 3}0.533{col 54}{space 4}-.1218412{col 67}{space 3} .0630343
{txt}{space 7}울산  {c |}{col 14}{res}{space 2}-.1703972{col 26}{space 2} .0393897{col 37}{space 1}   -4.33{col 46}{space 3}0.000{col 54}{space 4}-.2475995{col 67}{space 3}-.0931949
{txt}{space 7}인천  {c |}{col 14}{res}{space 2} .0937466{col 26}{space 2} .0340071{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4} .0270939{col 67}{space 3} .1603993
{txt}{space 7}전남  {c |}{col 14}{res}{space 2}-.3306083{col 26}{space 2} .0357454{col 37}{space 1}   -9.25{col 46}{space 3}0.000{col 54}{space 4}-.4006681{col 67}{space 3}-.2605485
{txt}{space 7}전북  {c |}{col 14}{res}{space 2}-.2932602{col 26}{space 2} .0358968{col 37}{space 1}   -8.17{col 46}{space 3}0.000{col 54}{space 4}-.3636167{col 67}{space 3}-.2229037
{txt}{space 7}제주  {c |}{col 14}{res}{space 2} .0761049{col 26}{space 2} .0430216{col 37}{space 1}    1.77{col 46}{space 3}0.077{col 54}{space 4}-.0082159{col 67}{space 3} .1604257
{txt}{space 7}충남  {c |}{col 14}{res}{space 2}-.1040318{col 26}{space 2} .0355168{col 37}{space 1}   -2.93{col 46}{space 3}0.003{col 54}{space 4}-.1736436{col 67}{space 3}-.0344201
{txt}{space 7}충북  {c |}{col 14}{res}{space 2}-.1600441{col 26}{space 2} .0371431{col 37}{space 1}   -4.31{col 46}{space 3}0.000{col 54}{space 4}-.2328433{col 67}{space 3}-.0872449
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2021  {c |}{col 14}{res}{space 2}-.1675712{col 26}{space 2} .0135952{col 37}{space 1}  -12.33{col 46}{space 3}0.000{col 54}{space 4}-.1942173{col 67}{space 3}-.1409251
{txt}{space 7}2022  {c |}{col 14}{res}{space 2}-.1213391{col 26}{space 2} .0130221{col 37}{space 1}   -9.32{col 46}{space 3}0.000{col 54}{space 4} -.146862{col 67}{space 3}-.0958162
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       /cut1 {c |}{col 14}{res}{space 2}-2.493105{col 26}{space 2} .0484062{col 54}{space 4}-2.587979{col 67}{space 3}-2.398231
{txt}       /cut2 {c |}{col 14}{res}{space 2}-.8296833{col 26}{space 2} .0468665{col 54}{space 4}-.9215399{col 67}{space 3}-.7378266
{txt}       /cut3 {c |}{col 14}{res}{space 2} .5745076{col 26}{space 2} .0468181{col 54}{space 4} .4827457{col 67}{space 3} .6662695
{txt}       /cut4 {c |}{col 14}{res}{space 2} 1.638946{col 26}{space 2} .0481374{col 54}{space 4} 1.544599{col 67}{space 3} 1.733294
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. estimates store model_4

. 
. 
. 
. coefplot (model_1), bylabel ((a) Loneliness) || (model_2), bylabel ((b) Distrust) || (model_3), bylabel ((c) Exploitation) || (model_4), bylabel ((d) Indifference) ||, eform omitted xline(1, lcolor(black) lwidth(thin)) lpattern(dash) graphregion(fcolor(white)) mlabel format(%9.3f) mlabposition(8) mlabsize(tiny) level(95 90) ciopts(lwidth(*0.5 *2))  keep(Inequality ||  Loneliness)
{res}
{com}. oprobit Distrust Loneliness income housing_type occupation sex marriage age education religion ideology i.region_1 i.year

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-53096.732}  
Iteration 1:{space 3}log likelihood = {res:-52050.477}  
Iteration 2:{space 3}log likelihood = {res:-52049.661}  
Iteration 3:{space 3}log likelihood = {res:-52049.661}  
{res}
{txt}Ordered probit regression{col 49}Number of obs{col 67}= {res}    46,366
{txt}{col 49}LR chi2({res}28{txt}){col 67}= {res}   2094.14
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-52049.661{txt}{col 49}Pseudo R2{col 67}= {res}    0.0197

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    Distrust{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Loneliness {c |}{col 14}{res}{space 2} .1235822{col 26}{space 2} .0083567{col 37}{space 1}   14.79{col 46}{space 3}0.000{col 54}{space 4} .1072034{col 67}{space 3} .1399611
{txt}{space 6}income {c |}{col 14}{res}{space 2}-.0213901{col 26}{space 2} .0032317{col 37}{space 1}   -6.62{col 46}{space 3}0.000{col 54}{space 4}-.0277241{col 67}{space 3}-.0150561
{txt}housing_type {c |}{col 14}{res}{space 2}-.1543032{col 26}{space 2} .0132371{col 37}{space 1}  -11.66{col 46}{space 3}0.000{col 54}{space 4}-.1802475{col 67}{space 3}-.1283589
{txt}{space 2}occupation {c |}{col 14}{res}{space 2} .0990837{col 26}{space 2} .0381493{col 37}{space 1}    2.60{col 46}{space 3}0.009{col 54}{space 4} .0243125{col 67}{space 3} .1738549
{txt}{space 9}sex {c |}{col 14}{res}{space 2}-.0369789{col 26}{space 2} .0111076{col 37}{space 1}   -3.33{col 46}{space 3}0.001{col 54}{space 4}-.0587494{col 67}{space 3}-.0152084
{txt}{space 4}marriage {c |}{col 14}{res}{space 2} .0061641{col 26}{space 2} .0112193{col 37}{space 1}    0.55{col 46}{space 3}0.583{col 54}{space 4}-.0158253{col 67}{space 3} .0281534
{txt}{space 9}age {c |}{col 14}{res}{space 2}-.0035323{col 26}{space 2} .0043093{col 37}{space 1}   -0.82{col 46}{space 3}0.412{col 54}{space 4}-.0119784{col 67}{space 3} .0049138
{txt}{space 3}education {c |}{col 14}{res}{space 2} -.023855{col 26}{space 2} .0057573{col 37}{space 1}   -4.14{col 46}{space 3}0.000{col 54}{space 4}-.0351391{col 67}{space 3}-.0125708
{txt}{space 4}religion {c |}{col 14}{res}{space 2}-.0765535{col 26}{space 2} .0113712{col 37}{space 1}   -6.73{col 46}{space 3}0.000{col 54}{space 4}-.0988406{col 67}{space 3}-.0542664
{txt}{space 4}ideology {c |}{col 14}{res}{space 2}-.0243921{col 26}{space 2} .0029258{col 37}{space 1}   -8.34{col 46}{space 3}0.000{col 54}{space 4}-.0301267{col 67}{space 3}-.0186575
{txt}{space 12} {c |}
{space 4}region_1 {c |}
{space 7}경기  {c |}{col 14}{res}{space 2} -.255867{col 26}{space 2} .0289873{col 37}{space 1}   -8.83{col 46}{space 3}0.000{col 54}{space 4} -.312681{col 67}{space 3}-.1990529
{txt}{space 7}경남  {c |}{col 14}{res}{space 2} -.509253{col 26}{space 2} .0331993{col 37}{space 1}  -15.34{col 46}{space 3}0.000{col 54}{space 4}-.5743224{col 67}{space 3}-.4441837
{txt}{space 7}경북  {c |}{col 14}{res}{space 2}-.0135634{col 26}{space 2} .0347308{col 37}{space 1}   -0.39{col 46}{space 3}0.696{col 54}{space 4}-.0816346{col 67}{space 3} .0545078
{txt}{space 7}광주  {c |}{col 14}{res}{space 2}-.2786049{col 26}{space 2} .0371186{col 37}{space 1}   -7.51{col 46}{space 3}0.000{col 54}{space 4}-.3513561{col 67}{space 3}-.2058538
{txt}{space 7}대구  {c |}{col 14}{res}{space 2} .1835726{col 26}{space 2} .0352942{col 37}{space 1}    5.20{col 46}{space 3}0.000{col 54}{space 4} .1143972{col 67}{space 3} .2527481
{txt}{space 7}대전  {c |}{col 14}{res}{space 2}-.0906276{col 26}{space 2} .0381524{col 37}{space 1}   -2.38{col 46}{space 3}0.018{col 54}{space 4} -.165405{col 67}{space 3}-.0158502
{txt}{space 7}부산  {c |}{col 14}{res}{space 2}-.5128396{col 26}{space 2} .0338545{col 37}{space 1}  -15.15{col 46}{space 3}0.000{col 54}{space 4}-.5791932{col 67}{space 3} -.446486
{txt}{space 7}서울  {c |}{col 14}{res}{space 2}-.3063124{col 26}{space 2} .0296859{col 37}{space 1}  -10.32{col 46}{space 3}0.000{col 54}{space 4}-.3644957{col 67}{space 3}-.2481291
{txt}{space 7}세종  {c |}{col 14}{res}{space 2}-.5656664{col 26}{space 2} .0477429{col 37}{space 1}  -11.85{col 46}{space 3}0.000{col 54}{space 4}-.6592408{col 67}{space 3} -.472092
{txt}{space 7}울산  {c |}{col 14}{res}{space 2}-.4392522{col 26}{space 2} .0395459{col 37}{space 1}  -11.11{col 46}{space 3}0.000{col 54}{space 4}-.5167608{col 67}{space 3}-.3617437
{txt}{space 7}인천  {c |}{col 14}{res}{space 2}-.0411408{col 26}{space 2} .0339029{col 37}{space 1}   -1.21{col 46}{space 3}0.225{col 54}{space 4}-.1075894{col 67}{space 3} .0253078
{txt}{space 7}전남  {c |}{col 14}{res}{space 2}-.5602146{col 26}{space 2} .0358376{col 37}{space 1}  -15.63{col 46}{space 3}0.000{col 54}{space 4}-.6304551{col 67}{space 3}-.4899742
{txt}{space 7}전북  {c |}{col 14}{res}{space 2}-.4258575{col 26}{space 2} .0359293{col 37}{space 1}  -11.85{col 46}{space 3}0.000{col 54}{space 4}-.4962777{col 67}{space 3}-.3554374
{txt}{space 7}제주  {c |}{col 14}{res}{space 2} .0576543{col 26}{space 2} .0428955{col 37}{space 1}    1.34{col 46}{space 3}0.179{col 54}{space 4}-.0264193{col 67}{space 3}  .141728
{txt}{space 7}충남  {c |}{col 14}{res}{space 2}-.1565808{col 26}{space 2} .0354619{col 37}{space 1}   -4.42{col 46}{space 3}0.000{col 54}{space 4}-.2260848{col 67}{space 3}-.0870767
{txt}{space 7}충북  {c |}{col 14}{res}{space 2}-.2957499{col 26}{space 2} .0371904{col 37}{space 1}   -7.95{col 46}{space 3}0.000{col 54}{space 4}-.3686418{col 67}{space 3}-.2228581
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2021  {c |}{col 14}{res}{space 2} -.065872{col 26}{space 2}  .013655{col 37}{space 1}   -4.82{col 46}{space 3}0.000{col 54}{space 4}-.0926353{col 67}{space 3}-.0391088
{txt}{space 7}2022  {c |}{col 14}{res}{space 2} -.053744{col 26}{space 2} .0130929{col 37}{space 1}   -4.10{col 46}{space 3}0.000{col 54}{space 4}-.0794056{col 67}{space 3}-.0280824
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       /cut1 {c |}{col 14}{res}{space 2}-2.287018{col 26}{space 2} .0478312{col 54}{space 4}-2.380765{col 67}{space 3} -2.19327
{txt}       /cut2 {c |}{col 14}{res}{space 2}-.5121761{col 26}{space 2} .0469137{col 54}{space 4}-.6041253{col 67}{space 3}-.4202269
{txt}       /cut3 {c |}{col 14}{res}{space 2} .6820855{col 26}{space 2} .0469644{col 54}{space 4} .5900369{col 67}{space 3} .7741341
{txt}       /cut4 {c |}{col 14}{res}{space 2}  1.70058{col 26}{space 2} .0487303{col 54}{space 4} 1.605071{col 67}{space 3}  1.79609
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. margins, dydx( Loneliness )
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}    46,366
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:Loneliness}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:1._predict}:{space 1}{res:Pr(Distrust==1), predict(pr outcome(1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._predict}:{space 1}{res:Pr(Distrust==2), predict(pr outcome(2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._predict}:{space 1}{res:Pr(Distrust==3), predict(pr outcome(3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._predict}:{space 1}{res:Pr(Distrust==4), predict(pr outcome(4))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._predict}:{space 1}{res:Pr(Distrust==5), predict(pr outcome(5))}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Loneliness   {txt}{c |}
{space 4}_predict {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0124907{col 26}{space 2}  .000868{col 37}{space 1}  -14.39{col 46}{space 3}0.000{col 54}{space 4} -.014192{col 67}{space 3}-.0107893
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0353193{col 26}{space 2} .0023794{col 37}{space 1}  -14.84{col 46}{space 3}0.000{col 54}{space 4}-.0399829{col 67}{space 3}-.0306557
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0258375{col 26}{space 2} .0017453{col 37}{space 1}   14.80{col 46}{space 3}0.000{col 54}{space 4} .0224167{col 67}{space 3} .0292583
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0180696{col 26}{space 2} .0012346{col 37}{space 1}   14.64{col 46}{space 3}0.000{col 54}{space 4} .0156499{col 67}{space 3} .0204894
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0039028{col 26}{space 2} .0002995{col 37}{space 1}   13.03{col 46}{space 3}0.000{col 54}{space 4} .0033158{col 67}{space 3} .0044898
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot

{text}{p 2 6 2}Variables that uniquely identify margins: _outcome{p_end}
{res}
{com}. oprobit Exploitation Loneliness income housing_type occupation sex marriage age education religion ideology i.region_1 i.year 

{res}{txt}Iteration 0:{space 3}log likelihood = {res: -63051.53}  
Iteration 1:{space 3}log likelihood = {res:-62481.542}  
Iteration 2:{space 3}log likelihood = {res: -62481.48}  
Iteration 3:{space 3}log likelihood = {res: -62481.48}  
{res}
{txt}Ordered probit regression{col 49}Number of obs{col 67}= {res}    46,366
{txt}{col 49}LR chi2({res}28{txt}){col 67}= {res}   1140.10
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res} -62481.48{txt}{col 49}Pseudo R2{col 67}= {res}    0.0090

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Exploitation{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Loneliness {c |}{col 14}{res}{space 2} .1537719{col 26}{space 2} .0081046{col 37}{space 1}   18.97{col 46}{space 3}0.000{col 54}{space 4} .1378873{col 67}{space 3} .1696566
{txt}{space 6}income {c |}{col 14}{res}{space 2}   .02738{col 26}{space 2} .0031175{col 37}{space 1}    8.78{col 46}{space 3}0.000{col 54}{space 4} .0212698{col 67}{space 3} .0334901
{txt}housing_type {c |}{col 14}{res}{space 2} .0016164{col 26}{space 2} .0128138{col 37}{space 1}    0.13{col 46}{space 3}0.900{col 54}{space 4}-.0234982{col 67}{space 3}  .026731
{txt}{space 2}occupation {c |}{col 14}{res}{space 2}-.0720769{col 26}{space 2} .0369415{col 37}{space 1}   -1.95{col 46}{space 3}0.051{col 54}{space 4} -.144481{col 67}{space 3} .0003272
{txt}{space 9}sex {c |}{col 14}{res}{space 2} .0254098{col 26}{space 2} .0107291{col 37}{space 1}    2.37{col 46}{space 3}0.018{col 54}{space 4} .0043812{col 67}{space 3} .0464384
{txt}{space 4}marriage {c |}{col 14}{res}{space 2} .0177138{col 26}{space 2} .0108423{col 37}{space 1}    1.63{col 46}{space 3}0.102{col 54}{space 4}-.0035368{col 67}{space 3} .0389643
{txt}{space 9}age {c |}{col 14}{res}{space 2}-.0204086{col 26}{space 2} .0041652{col 37}{space 1}   -4.90{col 46}{space 3}0.000{col 54}{space 4}-.0285722{col 67}{space 3}-.0122449
{txt}{space 3}education {c |}{col 14}{res}{space 2} .0160291{col 26}{space 2} .0055658{col 37}{space 1}    2.88{col 46}{space 3}0.004{col 54}{space 4} .0051203{col 67}{space 3} .0269379
{txt}{space 4}religion {c |}{col 14}{res}{space 2}-.1059606{col 26}{space 2} .0109795{col 37}{space 1}   -9.65{col 46}{space 3}0.000{col 54}{space 4}  -.12748{col 67}{space 3}-.0844412
{txt}{space 4}ideology {c |}{col 14}{res}{space 2} .0382297{col 26}{space 2} .0028283{col 37}{space 1}   13.52{col 46}{space 3}0.000{col 54}{space 4} .0326863{col 67}{space 3} .0437731
{txt}{space 12} {c |}
{space 4}region_1 {c |}
{space 7}경기  {c |}{col 14}{res}{space 2} .0132817{col 26}{space 2} .0283174{col 37}{space 1}    0.47{col 46}{space 3}0.639{col 54}{space 4}-.0422193{col 67}{space 3} .0687828
{txt}{space 7}경남  {c |}{col 14}{res}{space 2} .1655845{col 26}{space 2} .0321598{col 37}{space 1}    5.15{col 46}{space 3}0.000{col 54}{space 4} .1025525{col 67}{space 3} .2286165
{txt}{space 7}경북  {c |}{col 14}{res}{space 2}-.0856275{col 26}{space 2} .0340386{col 37}{space 1}   -2.52{col 46}{space 3}0.012{col 54}{space 4}-.1523419{col 67}{space 3}-.0189131
{txt}{space 7}광주  {c |}{col 14}{res}{space 2} .1259847{col 26}{space 2} .0361642{col 37}{space 1}    3.48{col 46}{space 3}0.000{col 54}{space 4} .0551042{col 67}{space 3} .1968652
{txt}{space 7}대구  {c |}{col 14}{res}{space 2} .0991476{col 26}{space 2} .0345491{col 37}{space 1}    2.87{col 46}{space 3}0.004{col 54}{space 4} .0314326{col 67}{space 3} .1668627
{txt}{space 7}대전  {c |}{col 14}{res}{space 2} .1939951{col 26}{space 2} .0371939{col 37}{space 1}    5.22{col 46}{space 3}0.000{col 54}{space 4} .1210964{col 67}{space 3} .2668938
{txt}{space 7}부산  {c |}{col 14}{res}{space 2} .1789085{col 26}{space 2} .0327542{col 37}{space 1}    5.46{col 46}{space 3}0.000{col 54}{space 4} .1147115{col 67}{space 3} .2431055
{txt}{space 7}서울  {c |}{col 14}{res}{space 2}  .072702{col 26}{space 2} .0289524{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4} .0159563{col 67}{space 3} .1294476
{txt}{space 7}세종  {c |}{col 14}{res}{space 2}-.2450602{col 26}{space 2} .0461593{col 37}{space 1}   -5.31{col 46}{space 3}0.000{col 54}{space 4}-.3355308{col 67}{space 3}-.1545896
{txt}{space 7}울산  {c |}{col 14}{res}{space 2} .1627742{col 26}{space 2} .0382164{col 37}{space 1}    4.26{col 46}{space 3}0.000{col 54}{space 4} .0878715{col 67}{space 3} .2376768
{txt}{space 7}인천  {c |}{col 14}{res}{space 2} .1468054{col 26}{space 2} .0331106{col 37}{space 1}    4.43{col 46}{space 3}0.000{col 54}{space 4} .0819098{col 67}{space 3} .2117011
{txt}{space 7}전남  {c |}{col 14}{res}{space 2}  .067224{col 26}{space 2} .0347177{col 37}{space 1}    1.94{col 46}{space 3}0.053{col 54}{space 4}-.0008214{col 67}{space 3} .1352693
{txt}{space 7}전북  {c |}{col 14}{res}{space 2} -.085225{col 26}{space 2} .0349242{col 37}{space 1}   -2.44{col 46}{space 3}0.015{col 54}{space 4}-.1536751{col 67}{space 3}-.0167749
{txt}{space 7}제주  {c |}{col 14}{res}{space 2}-.1118787{col 26}{space 2}  .041966{col 37}{space 1}   -2.67{col 46}{space 3}0.008{col 54}{space 4}-.1941306{col 67}{space 3}-.0296268
{txt}{space 7}충남  {c |}{col 14}{res}{space 2} .1002599{col 26}{space 2} .0346156{col 37}{space 1}    2.90{col 46}{space 3}0.004{col 54}{space 4} .0324145{col 67}{space 3} .1681053
{txt}{space 7}충북  {c |}{col 14}{res}{space 2} .0346807{col 26}{space 2} .0361048{col 37}{space 1}    0.96{col 46}{space 3}0.337{col 54}{space 4}-.0360834{col 67}{space 3} .1054449
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2021  {c |}{col 14}{res}{space 2} .0265305{col 26}{space 2} .0132102{col 37}{space 1}    2.01{col 46}{space 3}0.045{col 54}{space 4}  .000639{col 67}{space 3} .0524219
{txt}{space 7}2022  {c |}{col 14}{res}{space 2} .0205526{col 26}{space 2} .0126623{col 37}{space 1}    1.62{col 46}{space 3}0.105{col 54}{space 4}-.0042649{col 67}{space 3} .0453702
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       /cut1 {c |}{col 14}{res}{space 2}-.7515972{col 26}{space 2} .0456908{col 54}{space 4}-.8411496{col 67}{space 3}-.6620448
{txt}       /cut2 {c |}{col 14}{res}{space 2} .3027183{col 26}{space 2} .0455118{col 54}{space 4} .2135169{col 67}{space 3} .3919197
{txt}       /cut3 {c |}{col 14}{res}{space 2} 1.368912{col 26}{space 2}  .045788{col 54}{space 4} 1.279169{col 67}{space 3} 1.458655
{txt}       /cut4 {c |}{col 14}{res}{space 2} 2.575455{col 26}{space 2} .0471966{col 54}{space 4} 2.482951{col 67}{space 3} 2.667958
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. margins, dydx( Loneliness )
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}    46,366
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:Loneliness}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:1._predict}:{space 1}{res:Pr(Exploitation==1), predict(pr outcome(1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._predict}:{space 1}{res:Pr(Exploitation==2), predict(pr outcome(2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._predict}:{space 1}{res:Pr(Exploitation==3), predict(pr outcome(3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._predict}:{space 1}{res:Pr(Exploitation==4), predict(pr outcome(4))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._predict}:{space 1}{res:Pr(Exploitation==5), predict(pr outcome(5))}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Loneliness   {txt}{c |}
{space 4}_predict {c |}
{space 10}1  {c |}{col 14}{res}{space 2}-.0252713{col 26}{space 2} .0013579{col 37}{space 1}  -18.61{col 46}{space 3}0.000{col 54}{space 4}-.0279327{col 67}{space 3}-.0226099
{txt}{space 10}2  {c |}{col 14}{res}{space 2}-.0328929{col 26}{space 2} .0017284{col 37}{space 1}  -19.03{col 46}{space 3}0.000{col 54}{space 4}-.0362806{col 67}{space 3}-.0295052
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .0131814{col 26}{space 2} .0007409{col 37}{space 1}   17.79{col 46}{space 3}0.000{col 54}{space 4} .0117293{col 67}{space 3} .0146334
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0361284{col 26}{space 2} .0019036{col 37}{space 1}   18.98{col 46}{space 3}0.000{col 54}{space 4} .0323975{col 67}{space 3} .0398594
{txt}{space 10}5  {c |}{col 14}{res}{space 2} .0088544{col 26}{space 2} .0005157{col 37}{space 1}   17.17{col 46}{space 3}0.000{col 54}{space 4} .0078436{col 67}{space 3} .0098651
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot

{text}{p 2 6 2}Variables that uniquely identify margins: _outcome{p_end}
{res}
{com}. oprobit Indifference Loneliness income housing_type occupation sex marriage age education religion ideology i.region_1 i.year 

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-53261.356}  
Iteration 1:{space 3}log likelihood = {res:-52576.866}  
Iteration 2:{space 3}log likelihood = {res:-52576.566}  
Iteration 3:{space 3}log likelihood = {res:-52576.566}  
{res}
{txt}Ordered probit regression{col 49}Number of obs{col 67}= {res}    46,366
{txt}{col 49}LR chi2({res}28{txt}){col 67}= {res}   1369.58
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-52576.566{txt}{col 49}Pseudo R2{col 67}= {res}    0.0129

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}Indifference{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 2}Loneliness {c |}{col 14}{res}{space 2} .0842887{col 26}{space 2} .0083183{col 37}{space 1}   10.13{col 46}{space 3}0.000{col 54}{space 4} .0679851{col 67}{space 3} .1005922
{txt}{space 6}income {c |}{col 14}{res}{space 2}-.0226551{col 26}{space 2} .0032109{col 37}{space 1}   -7.06{col 46}{space 3}0.000{col 54}{space 4}-.0289483{col 67}{space 3}-.0163619
{txt}housing_type {c |}{col 14}{res}{space 2} -.068118{col 26}{space 2} .0131767{col 37}{space 1}   -5.17{col 46}{space 3}0.000{col 54}{space 4}-.0939439{col 67}{space 3}-.0422922
{txt}{space 2}occupation {c |}{col 14}{res}{space 2} .0046129{col 26}{space 2} .0380533{col 37}{space 1}    0.12{col 46}{space 3}0.904{col 54}{space 4}-.0699702{col 67}{space 3}  .079196
{txt}{space 9}sex {c |}{col 14}{res}{space 2}  -.05004{col 26}{space 2} .0110471{col 37}{space 1}   -4.53{col 46}{space 3}0.000{col 54}{space 4}-.0716919{col 67}{space 3}-.0283881
{txt}{space 4}marriage {c |}{col 14}{res}{space 2}-.0134273{col 26}{space 2} .0111606{col 37}{space 1}   -1.20{col 46}{space 3}0.229{col 54}{space 4}-.0353016{col 67}{space 3}  .008447
{txt}{space 9}age {c |}{col 14}{res}{space 2} .0070197{col 26}{space 2} .0042868{col 37}{space 1}    1.64{col 46}{space 3}0.102{col 54}{space 4}-.0013823{col 67}{space 3} .0154217
{txt}{space 3}education {c |}{col 14}{res}{space 2}-.0335858{col 26}{space 2}  .005731{col 37}{space 1}   -5.86{col 46}{space 3}0.000{col 54}{space 4}-.0448184{col 67}{space 3}-.0223533
{txt}{space 4}religion {c |}{col 14}{res}{space 2}-.0748992{col 26}{space 2} .0113018{col 37}{space 1}   -6.63{col 46}{space 3}0.000{col 54}{space 4}-.0970503{col 67}{space 3}-.0527481
{txt}{space 4}ideology {c |}{col 14}{res}{space 2}-.0250805{col 26}{space 2} .0029097{col 37}{space 1}   -8.62{col 46}{space 3}0.000{col 54}{space 4}-.0307834{col 67}{space 3}-.0193776
{txt}{space 12} {c |}
{space 4}region_1 {c |}
{space 7}경기  {c |}{col 14}{res}{space 2} .0632169{col 26}{space 2} .0290594{col 37}{space 1}    2.18{col 46}{space 3}0.030{col 54}{space 4} .0062615{col 67}{space 3} .1201724
{txt}{space 7}경남  {c |}{col 14}{res}{space 2}-.2572193{col 26}{space 2} .0331052{col 37}{space 1}   -7.77{col 46}{space 3}0.000{col 54}{space 4}-.3221043{col 67}{space 3}-.1923344
{txt}{space 7}경북  {c |}{col 14}{res}{space 2} .0730666{col 26}{space 2} .0348705{col 37}{space 1}    2.10{col 46}{space 3}0.036{col 54}{space 4} .0047218{col 67}{space 3} .1414115
{txt}{space 7}광주  {c |}{col 14}{res}{space 2}-.2497752{col 26}{space 2}  .037196{col 37}{space 1}   -6.72{col 46}{space 3}0.000{col 54}{space 4}-.3226781{col 67}{space 3}-.1768724
{txt}{space 7}대구  {c |}{col 14}{res}{space 2} .1813247{col 26}{space 2} .0354672{col 37}{space 1}    5.11{col 46}{space 3}0.000{col 54}{space 4} .1118104{col 67}{space 3} .2508391
{txt}{space 7}대전  {c |}{col 14}{res}{space 2}-.0062582{col 26}{space 2} .0382292{col 37}{space 1}   -0.16{col 46}{space 3}0.870{col 54}{space 4}-.0811861{col 67}{space 3} .0686697
{txt}{space 7}부산  {c |}{col 14}{res}{space 2}-.2765786{col 26}{space 2} .0337487{col 37}{space 1}   -8.20{col 46}{space 3}0.000{col 54}{space 4}-.3427248{col 67}{space 3}-.2104324
{txt}{space 7}서울  {c |}{col 14}{res}{space 2}-.0285153{col 26}{space 2} .0297168{col 37}{space 1}   -0.96{col 46}{space 3}0.337{col 54}{space 4}-.0867591{col 67}{space 3} .0297286
{txt}{space 7}세종  {c |}{col 14}{res}{space 2}-.0294034{col 26}{space 2}  .047163{col 37}{space 1}   -0.62{col 46}{space 3}0.533{col 54}{space 4}-.1218412{col 67}{space 3} .0630343
{txt}{space 7}울산  {c |}{col 14}{res}{space 2}-.1703972{col 26}{space 2} .0393897{col 37}{space 1}   -4.33{col 46}{space 3}0.000{col 54}{space 4}-.2475995{col 67}{space 3}-.0931949
{txt}{space 7}인천  {c |}{col 14}{res}{space 2} .0937466{col 26}{space 2} .0340071{col 37}{space 1}    2.76{col 46}{space 3}0.006{col 54}{space 4} .0270939{col 67}{space 3} .1603993
{txt}{space 7}전남  {c |}{col 14}{res}{space 2}-.3306083{col 26}{space 2} .0357454{col 37}{space 1}   -9.25{col 46}{space 3}0.000{col 54}{space 4}-.4006681{col 67}{space 3}-.2605485
{txt}{space 7}전북  {c |}{col 14}{res}{space 2}-.2932602{col 26}{space 2} .0358968{col 37}{space 1}   -8.17{col 46}{space 3}0.000{col 54}{space 4}-.3636167{col 67}{space 3}-.2229037
{txt}{space 7}제주  {c |}{col 14}{res}{space 2} .0761049{col 26}{space 2} .0430216{col 37}{space 1}    1.77{col 46}{space 3}0.077{col 54}{space 4}-.0082159{col 67}{space 3} .1604257
{txt}{space 7}충남  {c |}{col 14}{res}{space 2}-.1040318{col 26}{space 2} .0355168{col 37}{space 1}   -2.93{col 46}{space 3}0.003{col 54}{space 4}-.1736436{col 67}{space 3}-.0344201
{txt}{space 7}충북  {c |}{col 14}{res}{space 2}-.1600441{col 26}{space 2} .0371431{col 37}{space 1}   -4.31{col 46}{space 3}0.000{col 54}{space 4}-.2328433{col 67}{space 3}-.0872449
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}2021  {c |}{col 14}{res}{space 2}-.1675712{col 26}{space 2} .0135952{col 37}{space 1}  -12.33{col 46}{space 3}0.000{col 54}{space 4}-.1942173{col 67}{space 3}-.1409251
{txt}{space 7}2022  {c |}{col 14}{res}{space 2}-.1213391{col 26}{space 2} .0130221{col 37}{space 1}   -9.32{col 46}{space 3}0.000{col 54}{space 4} -.146862{col 67}{space 3}-.0958162
{txt}{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
       /cut1 {c |}{col 14}{res}{space 2}-2.493105{col 26}{space 2} .0484062{col 54}{space 4}-2.587979{col 67}{space 3}-2.398231
{txt}       /cut2 {c |}{col 14}{res}{space 2}-.8296833{col 26}{space 2} .0468665{col 54}{space 4}-.9215399{col 67}{space 3}-.7378266
{txt}       /cut3 {c |}{col 14}{res}{space 2} .5745076{col 26}{space 2} .0468181{col 54}{space 4} .4827457{col 67}{space 3} .6662695
{txt}       /cut4 {c |}{col 14}{res}{space 2} 1.638946{col 26}{space 2} .0481374{col 54}{space 4} 1.544599{col 67}{space 3} 1.733294
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. margins, dydx( Loneliness )
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}    46,366
{txt}Model VCE{col 14}: {res}OIM

{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:Loneliness}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:1._predict}:{space 1}{res:Pr(Indifference==1), predict(pr outcome(1))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:2._predict}:{space 1}{res:Pr(Indifference==2), predict(pr outcome(2))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:3._predict}:{space 1}{res:Pr(Indifference==3), predict(pr outcome(3))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:4._predict}:{space 1}{res:Pr(Indifference==4), predict(pr outcome(4))}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:5._predict}:{space 1}{res:Pr(Indifference==5), predict(pr outcome(5))}{p_end}
{p2colreset}{...}

{res}{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26} Delta-method
{col 14}{c |}      dy/dx{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}Loneliness   {txt}{c |}
{space 4}_predict {c |}
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{txt}{space 10}2  {c |}{col 14}{res}{space 2} -.026468{col 26}{space 2} .0026067{col 37}{space 1}  -10.15{col 46}{space 3}0.000{col 54}{space 4} -.031577{col 67}{space 3} -.021359
{txt}{space 10}3  {c |}{col 14}{res}{space 2}  .011667{col 26}{space 2} .0011602{col 37}{space 1}   10.06{col 46}{space 3}0.000{col 54}{space 4} .0093931{col 67}{space 3} .0139409
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0156065{col 26}{space 2} .0015437{col 37}{space 1}   10.11{col 46}{space 3}0.000{col 54}{space 4} .0125809{col 67}{space 3}  .018632
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{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. 
. marginsplot

{text}{p 2 6 2}Variables that uniquely identify margins: _outcome{p_end}
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{com}. log close
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{smcl}
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